Data Annotator

Summary:

The Emerging Technologies Enablement Team (ETE) performs data labeling tasks that support machine learning model and AI development within the Tech organization and across Capital One. This team plays a critical role in reviewing, evaluating, and annotating data to train AI models with the highest quality, accuracy, relevance, fluency, and compliance standards.

General Responsibilities:

• Review and analyze AI-generated responses for accuracy, clarity, and relevance
• Annotate data entry, perform data research activities according to Data Scientist instruction and Capital One guidelines
• Assist in developing and refining annotation guidelines to ensure consistency and quality in the labeling process
• Identify and report any data quality issues or anomalies encountered during annotation process
• Manage workload appropriately; efficiently service multiple requests, work with AI development team or dedicated lines of business to execute within deadlines
• Collaborate within teams and across teams as part of process initiatives and performance standards
• Expected to maintain SME knowledge of processes and support production work to maintain workflow and meet established deadlines
• Potential assignment or rotation across related sub-functions
• Exhibits flexibility and responds quickly to meet changing business needs including other job-related duties that may be assigned from time to time

Basic Qualifications:

• Bachelor's Degree or a combination of education and relevant experience in the field
• Minimum of 2 year of relevant work-related experience in a BPO or similar industry
• Exposure to data annotation, content moderation, or AI model support is a strong plus
• Skills Required:
• Good communication skills
• Analytical skills and Critical Thinking Skills for content evaluation
• Strong skills in writing and editing

Preferred Qualifications:

• At least 1 year in US Card services, US Banking, US Financial services and products